CreateGuardrailFluentBuilder

Struct CreateGuardrailFluentBuilder 

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pub struct CreateGuardrailFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateGuardrail.

Creates a guardrail to block topics and to implement safeguards for your generative AI applications.

You can configure the following policies in a guardrail to avoid undesirable and harmful content, filter out denied topics and words, and remove sensitive information for privacy protection.

  • Content filters - Adjust filter strengths to block input prompts or model responses containing harmful content.

  • Denied topics - Define a set of topics that are undesirable in the context of your application. These topics will be blocked if detected in user queries or model responses.

  • Word filters - Configure filters to block undesirable words, phrases, and profanity. Such words can include offensive terms, competitor names etc.

  • Sensitive information filters - Block or mask sensitive information such as personally identifiable information (PII) or custom regex in user inputs and model responses.

In addition to the above policies, you can also configure the messages to be returned to the user if a user input or model response is in violation of the policies defined in the guardrail.

For more information, see Amazon Bedrock Guardrails in the Amazon Bedrock User Guide.

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impl CreateGuardrailFluentBuilder

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pub fn as_input(&self) -> &CreateGuardrailInputBuilder

Access the CreateGuardrail as a reference.

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pub async fn send( self, ) -> Result<CreateGuardrailOutput, SdkError<CreateGuardrailError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<CreateGuardrailOutput, CreateGuardrailError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn name(self, input: impl Into<String>) -> Self

The name to give the guardrail.

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pub fn set_name(self, input: Option<String>) -> Self

The name to give the guardrail.

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pub fn get_name(&self) -> &Option<String>

The name to give the guardrail.

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pub fn description(self, input: impl Into<String>) -> Self

A description of the guardrail.

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pub fn set_description(self, input: Option<String>) -> Self

A description of the guardrail.

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pub fn get_description(&self) -> &Option<String>

A description of the guardrail.

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pub fn topic_policy_config(self, input: GuardrailTopicPolicyConfig) -> Self

The topic policies to configure for the guardrail.

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pub fn set_topic_policy_config( self, input: Option<GuardrailTopicPolicyConfig>, ) -> Self

The topic policies to configure for the guardrail.

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pub fn get_topic_policy_config(&self) -> &Option<GuardrailTopicPolicyConfig>

The topic policies to configure for the guardrail.

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pub fn content_policy_config(self, input: GuardrailContentPolicyConfig) -> Self

The content filter policies to configure for the guardrail.

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pub fn set_content_policy_config( self, input: Option<GuardrailContentPolicyConfig>, ) -> Self

The content filter policies to configure for the guardrail.

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pub fn get_content_policy_config(&self) -> &Option<GuardrailContentPolicyConfig>

The content filter policies to configure for the guardrail.

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pub fn word_policy_config(self, input: GuardrailWordPolicyConfig) -> Self

The word policy you configure for the guardrail.

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pub fn set_word_policy_config( self, input: Option<GuardrailWordPolicyConfig>, ) -> Self

The word policy you configure for the guardrail.

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pub fn get_word_policy_config(&self) -> &Option<GuardrailWordPolicyConfig>

The word policy you configure for the guardrail.

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pub fn sensitive_information_policy_config( self, input: GuardrailSensitiveInformationPolicyConfig, ) -> Self

The sensitive information policy to configure for the guardrail.

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pub fn set_sensitive_information_policy_config( self, input: Option<GuardrailSensitiveInformationPolicyConfig>, ) -> Self

The sensitive information policy to configure for the guardrail.

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pub fn get_sensitive_information_policy_config( &self, ) -> &Option<GuardrailSensitiveInformationPolicyConfig>

The sensitive information policy to configure for the guardrail.

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pub fn contextual_grounding_policy_config( self, input: GuardrailContextualGroundingPolicyConfig, ) -> Self

The contextual grounding policy configuration used to create a guardrail.

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pub fn set_contextual_grounding_policy_config( self, input: Option<GuardrailContextualGroundingPolicyConfig>, ) -> Self

The contextual grounding policy configuration used to create a guardrail.

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pub fn get_contextual_grounding_policy_config( &self, ) -> &Option<GuardrailContextualGroundingPolicyConfig>

The contextual grounding policy configuration used to create a guardrail.

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pub fn automated_reasoning_policy_config( self, input: GuardrailAutomatedReasoningPolicyConfig, ) -> Self

Optional configuration for integrating Automated Reasoning policies with the new guardrail.

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pub fn set_automated_reasoning_policy_config( self, input: Option<GuardrailAutomatedReasoningPolicyConfig>, ) -> Self

Optional configuration for integrating Automated Reasoning policies with the new guardrail.

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pub fn get_automated_reasoning_policy_config( &self, ) -> &Option<GuardrailAutomatedReasoningPolicyConfig>

Optional configuration for integrating Automated Reasoning policies with the new guardrail.

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pub fn cross_region_config(self, input: GuardrailCrossRegionConfig) -> Self

The system-defined guardrail profile that you're using with your guardrail. Guardrail profiles define the destination Amazon Web Services Regions where guardrail inference requests can be automatically routed.

For more information, see the Amazon Bedrock User Guide.

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pub fn set_cross_region_config( self, input: Option<GuardrailCrossRegionConfig>, ) -> Self

The system-defined guardrail profile that you're using with your guardrail. Guardrail profiles define the destination Amazon Web Services Regions where guardrail inference requests can be automatically routed.

For more information, see the Amazon Bedrock User Guide.

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pub fn get_cross_region_config(&self) -> &Option<GuardrailCrossRegionConfig>

The system-defined guardrail profile that you're using with your guardrail. Guardrail profiles define the destination Amazon Web Services Regions where guardrail inference requests can be automatically routed.

For more information, see the Amazon Bedrock User Guide.

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pub fn blocked_input_messaging(self, input: impl Into<String>) -> Self

The message to return when the guardrail blocks a prompt.

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pub fn set_blocked_input_messaging(self, input: Option<String>) -> Self

The message to return when the guardrail blocks a prompt.

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pub fn get_blocked_input_messaging(&self) -> &Option<String>

The message to return when the guardrail blocks a prompt.

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pub fn blocked_outputs_messaging(self, input: impl Into<String>) -> Self

The message to return when the guardrail blocks a model response.

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pub fn set_blocked_outputs_messaging(self, input: Option<String>) -> Self

The message to return when the guardrail blocks a model response.

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pub fn get_blocked_outputs_messaging(&self) -> &Option<String>

The message to return when the guardrail blocks a model response.

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pub fn kms_key_id(self, input: impl Into<String>) -> Self

The ARN of the KMS key that you use to encrypt the guardrail.

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pub fn set_kms_key_id(self, input: Option<String>) -> Self

The ARN of the KMS key that you use to encrypt the guardrail.

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pub fn get_kms_key_id(&self) -> &Option<String>

The ARN of the KMS key that you use to encrypt the guardrail.

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pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

The tags that you want to attach to the guardrail.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

The tags that you want to attach to the guardrail.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

The tags that you want to attach to the guardrail.

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pub fn client_request_token(self, input: impl Into<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than once. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency in the Amazon S3 User Guide.

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pub fn set_client_request_token(self, input: Option<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than once. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency in the Amazon S3 User Guide.

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pub fn get_client_request_token(&self) -> &Option<String>

A unique, case-sensitive identifier to ensure that the API request completes no more than once. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency in the Amazon S3 User Guide.

Trait Implementations§

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impl Clone for CreateGuardrailFluentBuilder

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fn clone(&self) -> CreateGuardrailFluentBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateGuardrailFluentBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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